Abstract: Systems, methods, and instrumentalities are disclosed for switching a control scheme to control a set of system modules and/or modular devices of a surgical hub. A surgical hub may determine a first control scheme that is configured to control a set of system modules and/or modular devices. The surgical hub may receive an input from one of the set of modules or a device located in an OR. The surgical hub may make a determination that at least one of a safety status level or an overload status level of the surgical hub is higher than its threshold value. Based on at least the received input and the determination, the surgical hub may determine a second control scheme to be used to control the set of system modules. The surgical hub may send a control program indicating the second control scheme to one or more system modules and/or modular devices.

Abstract: Systems, methods, and/or instrumentalities for a surgical hub providing a health care provider (HCP) with a data overlay may be provided. A state of a surgical object and/or an area of the operating room where the surgical object is located may be determined. Determining an area of the operating room where the surgical object is located may comprise using a sensor data associated with the area, a wearable device data, sensor data associated with the HCP, an image from a camera within the operating room, an ultrasonic sensor, a laser sensor, a laser doppler sensor, a radio frequency sensor, and/or a video form the camera within the operating room. A time associated with the surgical object and/or the area of the operating room may be determined. The state of the surgical object may be determined to indicate that the surgical object is ready for use in the surgical task.

Abstract: Examples described herein may include a surgical computing device that directs data communications to surgical networks. The surgical computing device may include a processor that is configured to determine a present network locus, wherein the present network locus is any of a first surgical network or a second surgical network; identify a data communications session; determine a surgical data type of the data communication session, wherein the surgical data type is any of a first type of surgical data or a second type of surgical data, and direct the data communications session to the first surgical network if the surgical data type is the first type of surgical data or to the second surgical network if the surgical data type is the second type of surgical data.

Abstract: Examples described herein any include a surgical module for use within the surgical system. The surgical module may include a first port connected to a surgical hub; a second port connected to an additional surgical module; and a controller. The controller may be configured to receive surgical data; determine if the surgical data is a first type of data or a second type of data; and instruct the surgical module to send the surgical data to the first port if the surgical data is the first type of data or to the second port if the surgical data is the second type of data.

Abstract: Systems, methods, and instrumentalities are disclosed for data storage and data retrieval based on processing, analysis, and/or usage needs. The data storage and data retrieval may include distributed and/or redundant data storage, for example, based on usage location of the data. Data storage and retrieval may be performed based on location and surgical procedure specific data. Data relating to, for example, a particular operating room and/or surgical procedure may be compiled and stored together. The data may be retrieved for future use. A surgical hub may obtain location and surgical procedure specific data for a specific location and surgical procedure. The surgical hub may generate surgical procedure information using the obtained location and surgical procedure specific data, for example, to use for an upcoming surgical procedure. The surgical hub may communicate the surgical procedure information to modules and/or surgical systems, for example, to perform the surgical procedure.

Abstract: Examples described herein may include a surgical computing device that directs data communications to surgical networks. The surgical computing device may include a processor that is configured to determine a present network locus, wherein the present network locus is any of a first surgical network or a second surgical network; identify a data communications session; determine a surgical data type of the data communication session, wherein the surgical data type is any of a first type of surgical data or a second type of surgical data, and direct the data communications session to the first surgical network if the surgical data type is the first type of surgical data or to the second surgical network if the surgical data type is the second type of surgical data.

Abstract: Systems, methods, and instrumentalities are disclosed for switching a control scheme to control a set of system modules and/or modular devices of a surgical hub. A surgical hub may determine a first control scheme that is configured to control a set of system modules and/or modular devices. The surgical hub may receive an input from one of the set of modules or a device located in an OR. The surgical hub may make a determination that at least one of a safety status level or an overload status level of the surgical hub is higher than its threshold value. Based on at least the received input and the determination, the surgical hub may determine a second control scheme to be used to control the set of system modules. The surgical hub may send a control program indicating the second control scheme to one or more system modules and/or modular devices.

Abstract: Systems, methods, and instrumentalities are disclosed for data processing and creating a record of the processing for archival in metadata associated with the results of the processing. The processing may include transformations of the data. Transforming the data may generate transformed data. The processes performed may be archived, for example, in metadata associated with the transformed data. The metadata may be annotated with information associated with previous transforms performed on the transformed data. The metadata may be stored with the transformed data.

Abstract: A device to process data associated with a surgical event of a surgery may include a processor. The processor may be configured to receive multiple data streams during the surgical event. The processor may be configured to select a primary data stream based on a surgical data interface via which the primary data stream is received. The processor may be configured to select a secondary data stream based on a surgical data interface via which the second data stream is received. The processor may be configured to identify the surgical data interfaces. The processor may be configured to generate situational data associated with the primary data stream based on the secondary data stream. The situational data may indicate a medical decision-making factor of the surgical event. The primary data stream and the situational data may be sent during the surgical event.